Explainable Artificial Intelligence (XAI) for Population Health Management – An Appraisal

Explainable Artificial Intelligence (XAI) for Population Health Management – An Appraisal

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Submitted Oct 10, 2021
Published Dec 23, 2021
DOI https://doi.org/10.24018/ejece.2021.5.6.368
Abstract viewed = 519 times
Issue
Vol. 5 No. 6 (2021)
Section
Articles

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  •   Het Naik

    •    Pandit Deendayal Energy University, India
  •   Priyanka Goradia

    •    Pandit Deendayal Energy University, India
  •   Vomini Desai

    •    Pandit Deendayal Energy University, India
  •   Yukta Desai, MS

    •    Pandit Deendayal Energy University, India
  •   Muralikrishna Iyyanki

    •    UC Berkeley, India

Abstract

This study explores Explainable Artificial Intelligence (XAI) in general and then talked about its potential use for the India Healthcare system. It also demonstrated some XAI techniques on a diabetes dataset with an aim to show practical implementation and implore the readers to think about more application areas. However, there are certain limitations of the technology which are highlighted along with the future scope in the discussion.


Keywords: Artificial Intelligence (AI), Chronic disease management, Decision Support System, Explainable Artificial Intelligence (XAI)

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How to Cite
[1]
Naik, H., Goradia, P., Desai, V., Desai, Y. and Iyyanki, M. 2021. Explainable Artificial Intelligence (XAI) for Population Health Management – An Appraisal. European Journal of Electrical Engineering and Computer Science. 5, 6 (Dec. 2021), 64–76. DOI:https://doi.org/10.24018/ejece.2021.5.6.368.